Algorithms in Decision Support Systems
This book aims to provide a new vision of how algorithms are the core of decision support systems (DSSs), which are increasingly important information systems that help to make decisions related to unstructured and semi-unstructured decision problems that do not have a simple solution from a human p...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
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| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20210501_9783036505886_239 |
| ট্যাগগুলো: |
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| _version_ | 1869527395022667776 |
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| collection | Directory of Open Access Books |
| description | This book aims to provide a new vision of how algorithms are the core of decision support systems (DSSs), which are increasingly important information systems that help to make decisions related to unstructured and semi-unstructured decision problems that do not have a simple solution from a human point of view. It begins with a discussion of how DSSs will be vital to improving the health of the population. The following article deals with how DSSs can be applied to improve the performance of people doing a specific task, like playing tennis. It continues with a work in which authors apply DSSs to insect pest management, together with an interactive platform for fitting data and carrying out spatial visualization. The next article improves how to reschedule trains whenever disturbances occur, together with an evaluation framework. The final works focus on different relevant areas of DSSs: 1) a comparison of ensemble and dimensionality reduction models based on an entropy criterion; 2) a radar emitter identification method based on semi-supervised and transfer learning; 3) design limitations, errors, and hazards in creating very large-scale DSSs; and 4) efficient rule generation for associative classification. We hope you enjoy all the contents in the book. |
| format | Online |
| id | doab-20.500.12854ir-68493 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-684932024-04-11T15:10:31Z Algorithms in Decision Support Systems García-Díaz, Vicente semi-supervised learning transfer learning radar emitter decision support systems population health management big data machine learning deep learning personalized patient care Nonlinear regression interactive platform component-based approach software architecture Eclipse-RCP (Rich Client Platform) spatial prediction rule-based expert systems tennis hitting technique computer algebra systems Groebner bases Boolean logic data envelopment analysis dimensionality reduction ensembles exhaustive state space search entropy associative classification class association rule vertical data representation classification algorithm evaluation parallel algorithms multi-objective optimization train rescheduling very large-scale decision support systems very large-scale data and program cores of information systems meta-database teleological meta-database thematic list indicators list computational methods list geographically dispersed systems external sources thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This book aims to provide a new vision of how algorithms are the core of decision support systems (DSSs), which are increasingly important information systems that help to make decisions related to unstructured and semi-unstructured decision problems that do not have a simple solution from a human point of view. It begins with a discussion of how DSSs will be vital to improving the health of the population. The following article deals with how DSSs can be applied to improve the performance of people doing a specific task, like playing tennis. It continues with a work in which authors apply DSSs to insect pest management, together with an interactive platform for fitting data and carrying out spatial visualization. The next article improves how to reschedule trains whenever disturbances occur, together with an evaluation framework. The final works focus on different relevant areas of DSSs: 1) a comparison of ensemble and dimensionality reduction models based on an entropy criterion; 2) a radar emitter identification method based on semi-supervised and transfer learning; 3) design limitations, errors, and hazards in creating very large-scale DSSs; and 4) efficient rule generation for associative classification. We hope you enjoy all the contents in the book. 2021-05-01T15:11:19Z 2021-05-01T15:11:19Z 2021 book ONIX_20210501_9783036505886_239 9783036505886 9783036505893 https://directory.doabooks.org/handle/20.500.12854/68493 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3513 https://mdpi.com/books/pdfview/book/3513 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0589-3 10.3390/books978-3-0365-0589-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036505886 9783036505893 162 Basel, Switzerland open access |
| spellingShingle | semi-supervised learning transfer learning radar emitter decision support systems population health management big data machine learning deep learning personalized patient care Nonlinear regression interactive platform component-based approach software architecture Eclipse-RCP (Rich Client Platform) spatial prediction rule-based expert systems tennis hitting technique computer algebra systems Groebner bases Boolean logic data envelopment analysis dimensionality reduction ensembles exhaustive state space search entropy associative classification class association rule vertical data representation classification algorithm evaluation parallel algorithms multi-objective optimization train rescheduling very large-scale decision support systems very large-scale data and program cores of information systems meta-database teleological meta-database thematic list indicators list computational methods list geographically dispersed systems external sources thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Algorithms in Decision Support Systems |
| title | Algorithms in Decision Support Systems |
| title_full | Algorithms in Decision Support Systems |
| title_fullStr | Algorithms in Decision Support Systems |
| title_full_unstemmed | Algorithms in Decision Support Systems |
| title_short | Algorithms in Decision Support Systems |
| title_sort | algorithms in decision support systems |
| topic | semi-supervised learning transfer learning radar emitter decision support systems population health management big data machine learning deep learning personalized patient care Nonlinear regression interactive platform component-based approach software architecture Eclipse-RCP (Rich Client Platform) spatial prediction rule-based expert systems tennis hitting technique computer algebra systems Groebner bases Boolean logic data envelopment analysis dimensionality reduction ensembles exhaustive state space search entropy associative classification class association rule vertical data representation classification algorithm evaluation parallel algorithms multi-objective optimization train rescheduling very large-scale decision support systems very large-scale data and program cores of information systems meta-database teleological meta-database thematic list indicators list computational methods list geographically dispersed systems external sources thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | semi-supervised learning transfer learning radar emitter decision support systems population health management big data machine learning deep learning personalized patient care Nonlinear regression interactive platform component-based approach software architecture Eclipse-RCP (Rich Client Platform) spatial prediction rule-based expert systems tennis hitting technique computer algebra systems Groebner bases Boolean logic data envelopment analysis dimensionality reduction ensembles exhaustive state space search entropy associative classification class association rule vertical data representation classification algorithm evaluation parallel algorithms multi-objective optimization train rescheduling very large-scale decision support systems very large-scale data and program cores of information systems meta-database teleological meta-database thematic list indicators list computational methods list geographically dispersed systems external sources thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783036505886_239 |